The LLM benchmark aggregator.

Qwen Plus

Alibaba

Strongest in General intelligence (#49 of 181, on 1 of its 3 boards), weakest in Human preference (#180 of 354). Above par in 4 of 4 scopes. Among the models it meets almost everywhere, it finishes behind Gemini 4 Carbon and Gemini 4 Argon and ahead of MiniMax M2 and GPT-5 nano.

§ 1 · Profile

What it is good at

Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.

Core abilities53.6−12#61/2011/4

General intelligence55.2−13.8#49/1811/3

Human preference51.5−17.3#180/3541/1

§ 2 · Head to head

What it beats, and what beats it

The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for Qwen Plus, left for the other.

Mistral Mediumwon 4 · lost 0

Claude 3 Haikuwon 4 · lost 0

Llama 3 70B Instructwon 4 · lost 0

Granite 4.2 3Bwon 4 · lost 0

Granite 4.2 8Bwon 4 · lost 0

Gemma 3 4B ITwon 4 · lost 0

Magistral Mediumwon 4 · lost 0

Mercurywon 4 · lost 0

Gemma 3n E4B ITwon 4 · lost 0

GPT-4o miniwon 4 · lost 0

GPT OSS 20Bwon 4 · lost 0

Llama 4 Scout Instructwon 4 · lost 0

GPT-4.1 nanowon 4 · lost 0

Llama 4 Maverick Instructwon 4 · lost 0

GPT-5 nanowon 4 · lost 0

MiniMax M2won 4 · lost 0

Qwen3 32Bwon 2 · lost 2

Step 3won 2 · lost 2

NVIDIA Nemotron 3.5 Lightning 30B A3Bwon 2 · lost 2

GLM-4.5Vwon 2 · lost 2

GPT OSS 120Bwon 2 · lost 2

Command Awon 2 · lost 2

Mistral Small 3.2won 2 · lost 2

Gemini 2.0 Flashwon 2 · lost 2

Grok 3 Miniwon 2 · lost 2

Gemma 3 27B ITwon 2 · lost 2

GLM-4.5 Airwon 2 · lost 2

Gemini 2.5 Flash-Litewon 2 · lost 2

GPT-4.1 miniwon 2 · lost 2

Solar Pro 4won 2 · lost 2

MiniMax M2.5won 2 · lost 2

DeepSeek V3won 2 · lost 2

Qwen3 Next 80B A3B Instructwon 2 · lost 2

LongCat Flash Chatwon 2 · lost 2

GPT-5.4 nanowon 2 · lost 2

Inkling Smallwon 2 · lost 2

Gemini 2.5 Flashwon 2 · lost 2

GLM-4.5won 2 · lost 2

Grok 3won 2 · lost 2

Inkling 2 Smallwon 2 · lost 2

GPT-4.1won 2 · lost 2

Mistral Large 3won 2 · lost 2

DeepSeek V3.1 Terminuswon 2 · lost 2

DeepSeek V3.1won 2 · lost 2

Kimi K2won 2 · lost 2

Claude Haiku 5.5won 2 · lost 2

Qwen3 235B A22B Instructwon 2 · lost 2

Mistral Large 4won 2 · lost 2

DeepSeek V3.2won 2 · lost 2

GLM-4.6won 2 · lost 2

Muse Glimmerwon 2 · lost 2

NVIDIA Nemotron 3 Ultra 550B A55Bwon 2 · lost 2

Mistral Medium 3.5won 2 · lost 2

Qwen3.8 27Bwon 2 · lost 2

MiniMax M3won 2 · lost 2

DeepSeek V4 Flashwon 2 · lost 2

GPT-6 Lunawon 2 · lost 2

Inklingwon 2 · lost 2

GPT-5.4 miniwon 2 · lost 2

Step 5won 2 · lost 2

MiMo V2.6 Flashwon 2 · lost 2

Gemma 4 31Bwon 2 · lost 2

GPT-5.6 Lunawon 2 · lost 2

Gemini 3.5 Flash-Litewon 2 · lost 2

Grok 4.6won 2 · lost 2

Claude Sonnet 4.5won 2 · lost 2

DeepSeek V4 Prowon 2 · lost 2

GPT-5.6 Terrawon 2 · lost 2

GLM-5.3 Flashwon 2 · lost 2

GLM-5.2won 2 · lost 2

MiMo V2.6 Prowon 2 · lost 2

GLM-5.3won 2 · lost 2

Gemini 3.8 Flashwon 2 · lost 2

Grok 4.3won 1 · lost 2

Qwen3.6 Pluswon 1 · lost 2

Kimi K2.6won 1 · lost 2

Claude Sonnet 5won 1 · lost 2

Claude Sonnet 4.6won 1 · lost 2

Claude Opus 5won 1 · lost 2

Muse Spark 1.1won 1 · lost 2

GPT-5.2won 1 · lost 3

Grok 4.7won 1 · lost 3

DeepSeek V4.1 Flashwon 1 · lost 3

Qwen3.8 Maxwon 1 · lost 3

Kimi K3won 1 · lost 3

Muse Spark 1.3won 1 · lost 3

GPT-6 Solwon 0 · lost 3

Qwen3.7 Maxwon 0 · lost 3

Gemini 3.5 Flashwon 0 · lost 3

Gemini 3.6 Flashwon 0 · lost 3

Gemini 3.1 Prowon 0 · lost 3

Gemini 3.7 Flashwon 0 · lost 3

Muse Spark 1.2won 0 · lost 3

Qwen3 Next 80B A3B Thinkingwon 0 · lost 4

GPT-5 miniwon 0 · lost 4

O4 Miniwon 0 · lost 4

Qwen3 235B A22B Thinkingwon 0 · lost 4

Claude Sonnet 4won 0 · lost 4

Grok 4 Fastwon 0 · lost 4

Grok 4won 0 · lost 4

DeepSeek R1won 0 · lost 4

Qwen3 Maxwon 0 · lost 4

Claude Opus 4won 0 · lost 4

O3won 0 · lost 4

Gemini 3.1 Flash-Litewon 0 · lost 4

GPT-5won 0 · lost 4

Qwen3.5 397B A17Bwon 0 · lost 4

Gemini 2.5 Prowon 0 · lost 4

Kimi K2.5won 0 · lost 4

GLM-5won 0 · lost 4

Grok 4.5won 0 · lost 4

Claude Sonnet 5.5won 0 · lost 4

Grok 4.20won 0 · lost 4

GPT-6 Astrawon 0 · lost 4

Claude Opus 4.5won 0 · lost 4

GPT-5.4won 0 · lost 4

GPT-5.5won 0 · lost 4

GPT-6.1 Solwon 0 · lost 4

Claude Opus 4.8won 0 · lost 4

Kimi K3.1 Prowon 0 · lost 4

GPT-5.6 Solwon 0 · lost 4

Gemini 3 Prowon 0 · lost 4

Claude Opus 4.7won 0 · lost 4

Claude Fable 5.1won 0 · lost 4

Claude Opus 4.6won 0 · lost 4

Claude Fable 5won 0 · lost 4

Claude Opus 5.5won 0 · lost 4

Muse Wonderwon 0 · lost 4

Gemini 4 Argonwon 0 · lost 4

Gemini 4 Carbonwon 0 · lost 4

§ 3 · Sources

Where the numbers come from

2 publications, 2 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-12

LMArena Text 1346

Kagi LLM Benchmark ↗1 measureread 2026-11-12

Kagi LLM Benchmark 63.3%

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